面向应急观测规划的对地观测传感器集成管理方法与应用
作者简介:胡楚丽(1984-),男,湖南怀化人,讲师,研究方向为地理空间传感网、传感器集成与共享和智慧城市。E-mail: andyhuli@tom.com
收稿日期: 2014-11-14
要求修回日期: 2015-02-09
网络出版日期: 2015-06-10
基金资助
国家科技重点基础研究计划“973”项目(2011CB7071)
国家高技术研究发展计划"863"项目(2013AA01A608)
国家自然科学基金项目(41171315)
教育部新世纪优秀人才项目(NCET-11-0394)
中国博士后科学基金面上项目(2014M552116)
城市空间信息工程北京重点实验室经费资助项目(2014208)
An Integrated Management Method of EO Sensor Resources Oriented to Emergency Observation Planning
Received date: 2014-11-14
Request revised date: 2015-02-09
Online published: 2015-06-10
Copyright
随着对地观测技术的发展,地学传感器种类与数量日益增加,为了高效管理对地观测传感网中的传感器资源,以及分析对地观测应急事件的特点和传感器应急观测规划的需求,本文提出面向应急观测规划的对地观测传感器资源集成管理方法。其包括对地观测传感器信息资源组织与索引、天基传感器对地观测覆盖计算、面向应急协同观测的元数据查询设计。鉴此,本文以Java平台和传感网信息模型规范SensorML为基础,设计并实现了面向应急观测规划的对地观测传感器集成管理工具GeoSensorQuery。最后,以长江流域中游洪涝监测传感器规划为例,验证了本文方法的可行性。
胡楚丽 , 钟翔 , 关庆锋 , 陈能成 . 面向应急观测规划的对地观测传感器集成管理方法与应用[J]. 地球信息科学学报, 2015 , 17(6) : 631 -367 . DOI: 10.3724/SP.J.1047.2015.00631
With the development of Earth Observation (EO) technology and the increasing geospatial sensor resources, it is necessary to efficiently manage geospatial sensor resources in Geospatial Sensor Web environments which facilitate users to plan and use these resources comprehensively, accurately and in demand. Based on the analysis of (1) features of EO emergency event and (2) demands of sensor emergency observation planning, this study aims to achieve the near real-time, accurate and comprehensive discovery of existing heterogeneous EO sensor resources. We propose an integrated management method of EO sensor resources oriented to emergency observation planning. The research contents include how to organize and build the index of EO sensors’ information, how to calculate the observation area covered for space-based sensors, and how to design the inquiry of metadata for collaborative emergency observation. Based on the above mentioned workflows that included in the proposed integrated management method, this study designed and produced an integrated management tool which is entitled GeoSensorQuery for emergency observation planning, via the utilization of Java programming language and the Open Geospatial Consortium (OGC) Sensor Web Enablement (SWE) information standard model-Sensor Model Language (SensorML). Finally, an application focusing on planning the flooding observation sensors occurred in the middle reaches of Yangtze River basin of China has been exemplified, in which the designed GeoSensorQuery prototype can meet the requirements of near real-time, accurate and comprehensive discovery of massive and heterogeneous EO sensor resources. As a conclusion, the selected example has verified the feasibility of our method.
Fig. 1 Three tuples of Earth Observation sensor information resources metadata图1 对地观测传感器信息资源元数据三元组 |
Fig. 2 Indexing of sensor information resources图2 传感器信息资源索引构建 |
Tab. 1 Mapping between observation capabilities and Lucene-based index field表1 观测能力与Lucene索引域映射样例 |
传感器观测能力元数据组 | Lucene索引域名称 | Lucene索引域类型 |
---|---|---|
应急观测查询模式 | Sensor-Type | TextField |
应急主题 | Sensor-Thematic | TextField |
应急观测起始时间 | Start-Observation-Time | DateField |
应急观测终止时间 | End-Observation-Time | DateField |
空间分辨率 | spatialResolution | NumericField |
波谱分辨率 | BandResolution | NumericField |
观测周期 | RevisitTime | NumericField |
响应时间 | ResponsedTime | NumericField |
… | … | … |
Fig. 3 Model of EO (Earth Observation) coverage图3 对地观测覆盖模型 |
Tab. 2 Fine-grained multi-dimension metadata item design表2 细粒度多层次元数据查询项设计 |
一级查询目录 | 二级查询项 | 多重性 |
---|---|---|
应急观测事件信息 | 应急观测查询模式 | 必选 |
应急主题 | ||
应急观测起始时间 | ||
应急观测终止时间 | ||
应急观测包围盒 | ||
传感器基本信息 | 关键词 | 可选 |
传感器名称 | ||
传感器唯一标识符 | ||
传感器规划服务 | ||
传感器观测服务 | ||
观测能力信息 | 空间分辨率 | 可选 |
波谱分辨率 | ||
观测周期 | ||
响应时间 | ||
… |
Fig. 4 Main interface of GeosensorQuery图4 GeosensorQuery主界面 |
Fig. 5 Query entrance for emergency observation图5 应急协同观测查询入口 |
Fig. 6 Result of integrated query oriented to observation planning图6 面向观测规划的集成查询结果 |
The authors have declared that no competing interests exist.
[1] |
|
[2] |
|
[3] |
|
[4] |
|
[5] |
|
[6] |
|
[7] |
|
[8] |
|
[9] |
|
[10] |
|
[11] |
|
[12] |
|
[13] |
|
[14] |
|
[15] |
|
[16] |
Analytical Graphics Inc. AGI STK online introduction[EB/OL]. 2014-02-12.
|
[17] |
National Oceanic and Atmospheric Administration. NOAA NDBC online demonstration[EB/OL]. 2014-03-18.
|
[18] |
|
[19] |
|
[20] |
The Apache Software Foundation. Apache Lucene Introduction[EB/OL]. 2014-06-10.
|
[21] |
|
/
〈 | 〉 |